NAPC Defense (NAPD) Return on Sales [ROS] (2017 - 2026)
NAPC Defense's Return on Sales [ROS] came in at 24.83% for fiscal Q1 2027 (quarter ended Jul 31, 2026).
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Analysis
NAPC Defense (NAPD) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, NAPC Defense reported Return on Sales [ROS] of -9.08%; for FY2026 (ended Apr 30, 2026), it came in at -143.88%.
- Return on Sales [ROS] carries a three-year change of +402.03 percentage points (FY2023 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -545.91% in FY2023.
- The fiscal Q1 2027 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | NAPC Defense | 4.91 Mn | 3.38 Mn | 1.55 Mn | 24.83% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24.83% |
| Jan 31, 2025 | -905.14% |
| Oct 31, 2024 | -631.48% |
| Jul 31, 2024 | -366.85% |
| Apr 30, 2019 | -351.75% |
| Jan 31, 2019 | -717.46% |
| Oct 31, 2018 | -329.59% |
| Jul 31, 2018 | -7.39% |
| Apr 30, 2018 | -45,089.00% |
| Jan 31, 2018 | 560.86% |
| Oct 31, 2017 | 174.98% |
| Jul 31, 2017 | 278.60% |
API Access
NAPC Defense Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=NAPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NAPD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=NAPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();